• DocumentCode
    2902950
  • Title

    Model predictive control suitable for closed-loop re-identification

  • Author

    Gonzalez, A.H. ; Ferramosca, Antonio ; Bustos, G.A. ; Marchetti, J.L. ; Odloak, D.

  • Author_Institution
    Inst. of Technol. Dev. for the Chem. Ind. (INTEC), Univ. Nac. del Litoral (UNL)., Santa Fe, Argentina
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    1709
  • Lastpage
    1714
  • Abstract
    The main problem of a closed-loop re-identification procedure is that, in general, the dynamic control and identification objectives are conflicting. In fact, to perform a suitable identification a persistent excitation of the system is needed, while the control objective is to stabilize the system to a given equilibrium point. In this work, a generalization of the concept of stability, from punctual stability to (invariant) set stability, is studied to avoid the conflict between these objectives. Furthermore, a persistent excitation scheme is proposed to properly perform a closed-loop re-identification. Simulation results show the propose controller formulation properties.
  • Keywords
    closed loop systems; identification; predictive control; stability; closed-loop reidentification; controller formulation properties; dynamic control; equilibrium point; identification objectives; model predictive control; punctual stability; set stability; system stabilization; Closed loop systems; Convergence; Cost function; Lyapunov methods; Predictive control; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580082
  • Filename
    6580082